Goodreads Data Analysis Project
Posted by Swarup Malli
Updated: May 18, 2020
The data set is from Goodreads. It contains around 11k records on books. The target audience of this project are book-lovers .The books come in many different languages. The fields used for data analysis are Book Title, Authors, Average Ratings , Language code, Number of reviews given to each book and publication date.
Goal of the project
- Find a trend for number of books published by year
- List of top 30 Authors by they average user ratings
- Number of Books by language code
- Top 50 books by the number of user reviews
Number of books by year
Top 30 Authors by Average User Ratings
Number of Books by language code
Top 50 books by the number of user reviews
Swarup Malli
Swarup has a Bachelors's degree in Information Technology. He started his career as an ETL developer and eventually transitioned into the Business Intelligence space. He has been consulting as a Business Intelligence professional with 10 + years plus of experience in the Banking, Pharma, and Manufacturing Industry. He believes Data Science is a logical extension to the field of BI and believes the future of data science is quite promising.
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